tf.image.random_saturation

TensorFlow 1 version View source on GitHub

Adjust the saturation of RGB images by a random factor.

tf.image.random_saturation(
    image, lower, upper, seed=None
)

Equivalent to adjust_saturation() but uses a saturation_factor randomly picked in the interval [lower, upper].

Usage Example:

x = [[[1.0, 2.0, 3.0],
      [4.0, 5.0, 6.0]],
    [[7.0, 8.0, 9.0],
      [10.0, 11.0, 12.0]]]
tf.image.random_saturation(x, 5, 10)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 0. ,  1.5,  3. ],
        [ 0. ,  3. ,  6. ]],
       [[ 0. ,  4.5,  9. ],
        [ 0. ,  6. , 12. ]]], dtype=float32)>

image RGB image or images. The size of the last dimension must be 3.
lower float. Lower bound for the random saturation factor.
upper float. Upper bound for the random saturation factor.
seed An operation-specific seed. It will be used in conjunction with the graph-level seed to determine the real seeds that will be used in this operation. Please see the documentation of set_random_seed for its interaction with the graph-level random seed.

Adjusted image(s), same shape and DType as image.

ValueError if upper <= lower or if lower < 0.